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Distilbert Base Uncased Finetuned Test Headline
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Distilbert Base Uncased Finetuned Test Headline
Developed by lucypallent
This model is a fine-tuned version of distilbert-base-uncased on an unspecified dataset, primarily used for text-related tasks.
Downloads 15
Release Time : 4/8/2022
Model Overview
This is a fine-tuned DistilBERT model based on the distilbert-base-uncased architecture, suitable for natural language processing tasks.
Model Features
Lightweight Architecture
Based on the DistilBERT architecture, it is more lightweight than standard BERT models while maintaining good performance.
Fine-tuned Model
Fine-tuned for specific tasks, potentially optimized for particular domains or tasks.
Model Capabilities
Text Understanding
Text Classification
Feature Extraction
Use Cases
Natural Language Processing
Text Classification
Can be used for text classification tasks such as news categorization and sentiment analysis.
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